Mobile cellular networks can serve as ubiquitous sensors for physical mobility. We propose
a method to infer vehicle travel times on highways and to detect road congestion in real …

The use of wireless location technology and mobile phone data appears to offer a broad
range of new opportunities for sophisticated applications in traffic management and …

The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

The goal of this paper is to infer features of urban ecology (ie, social and economic activities,
and social interaction) from spatiotemporal cell phone activity data. We present a novel …

Understanding the spatiotemporal distribution of people within a city is crucial to many
planning applications. Obtaining data to create required knowledge, currently involves costly …

This chapter examines the possibility to analyze and compare human activities in an urban
environment based on the detection of mobile phone usage patterns. Thanks to an …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

In this work, we present three classes of methods to extract information from triangulated
mobile phone signals, and describe applications with different goals in spatiotemporal …

Large-scale urban sensing data such as mobile phone traces are emerging as an important
data source for urban modeling. This study represents a first step towards building a …

We present a prototype mobile phone application that implements a novel transportation
mode detection algorithm. The application is designed to run in the background, and …